Borrowing it
Nothing to install: this file belongs to tusharagg1/aifolimizer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tusharagg1/aifolimizer/master/AGENTS.mdgit clone --depth 1 https://github.com/tusharagg1/aifolimizerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/tusharagg1/aifolimizer/agents-md)<a href="https://agentmods.dev/instructions/tusharagg1/aifolimizer/agents-md"><img src="https://agentmods.dev/badge/instructions/tusharagg1/aifolimizer/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/tusharagg1/aifolimizer/agents-md"><img src="https://agentmods.dev/badge/instructions/tusharagg1/aifolimizer/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00678 | $0.00678 |
| Opus 5.5 | $0.00271 | $0.00271 |
| Sonnet 5.5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
aifolimizer AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aifolimizer - Agent Context
Agent-optimized minimal context. Architecture, tech stack, MCP tool table, privacy rules, and code/workflow rules live in CLAUDE.md - read that first. This file lists only what's unique for an agent navigating the repo.
Entry Points
backend/main.py- FastAPI appbackend/mcp_server.py- MCP server (107 tools)backend/mcp_login.py- interactive WS MFA login (run once)backend/run.py- uvicorn entry point.claude/skills/- 28 analysis skills
Important Folders
backend/app/services/- all data/compute logicbackend/app/api/ws.py- REST API routes.claude/context/- session state (changes.md, architecture.md, lessons.md, STATE.md)scripts/- automation (Telegram push, scheduled tasks, NSSM service)docs/- FAQ + sample skill outputs
Commands
# backend (Windows)
cd backend; .venv\Scripts\activate; uvicorn main:app --reload --port 8000
# register MCP server (one-time, absolute paths)
claude mcp add aifolimizer "<repo>/backend/.venv/Scripts/python.exe" "<repo>/backend/mcp_server.py"
# WS first-time login
cd backend; .venv\Scripts\python.exe mcp_login.py
# lint / compile / test
cd backend; ruff check .
cd backend; .venv\Scripts\python.exe -m py_compile mcp_server.py main.py
pytest # run from repo root (pyproject testpaths = backend/tests)
# infra (optional)
docker compose up -d
# backend (macOS/Linux)
cd backend && source .venv/bin/activate && uvicorn main:app --reload --port 8000
MCP tool names use the mcp__aifolimizer__<tool> convention when invoked from Claude.
Do Not Read
backend/.venv/backend/.pytest_tmp*/*.logbackend/data/*.jsonl(runtime data, not source).data/(Docker volumes - Postgres/Redis state)
Override with explicit path when triaging (specific log line, jsonl row).
Known Gotchas
- Use
talib for technicals - NOTpandas-ta(Python 3.14 incompatible; project pins 3.12). - MCP + FastAPI share L2 diskcache - cold MCP restart hits L2 if FastAPI warmed within TTL.
- Always call
get_profilefirst in any analysis - never hardcode account types or capital. - Single-letter
l(lowercase L) is ruff E741 - rename toloin candlestick code. .mcp.jsonat repo root is gitignored (contains absolute paths). Use.mcp.example.jsonas template..secrets/pg_password.txtmust exist beforedocker compose up- gitignored, create on first clone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 67 lines · 678 tokens per session scan A 7a9a763a4e60
aifolimizer AGENTS.md is an instructions file published in the GitHub repository tusharagg1/aifolimizer (2 stars, last pushed 1mo ago), licensed MIT. It adds 678 tokens to every session, about $0.0027 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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